Releases: marcpinet/neuralnetlib
Releases · marcpinet/neuralnetlib
neuralnetlib 3.0.8
- docs: update dinosaurs example
- perf(Adam/RNN): better gradient handling
- ci: bump version to 3.0.8
neuralnetlib 3.0.7
- fix(attention): correct gradient computation in dot-product attention
- fix(RNN): global clipping instead of individual
- docs: update readme
- ci: bump version to 3.0.7
neuralnetlib 3.0.6
- fix: GRU to Model exceptions
- ci: bump version to 3.0.6
neuralnetlib 3.0.5
- feat: add GRU layer
- ci: bump version to 3.0.5
neuralnetlib 3.0.4
- feat: add sparse cce
- fix: f1score, precision, recall for bc
- refactor: better weights and biases init
- fix(Adam): limit cases and gradient clipping
- docs: update examples
- feat: improve dropout and add new regularizers
- feat(LSTM): vanishing gradient + gradient clipping
- ci: bump version to 3.0.4
neuralnetlib 3.0.3
- perf: less memoryvore
- ci: bump version to 3.0.2
- Merge pull request #48 from marcpinet/perf-improve-lstm-attention
- fix: evaluate new batch handling
- docs: add method typing
- fix(Dense): correct temporal data handling in forward and backward passes
- ci: bump version to 3.0.3
neuralnetlib 3.0.2
- perf: less memoryvore
- ci: bump version to 3.0.2
- Merge pull request #48 from marcpinet/perf-improve-lstm-attention
neuralnetlib 3.0.1
- feat: improve rnn and add real life application
- ci: bump version to 3.0.1
- Merge pull request #47 from marcpinet/improve-rnn-and-real-life-application
neuralnetlib 3.0.0
- docs: update decision boundary plot img
- feat: add lstm and rnn support
- feat: add attention
- feat: improve attention
- refactor: remove useless instructions
- fix: some fixes and improvements
- Merge pull request #46 from marcpinet/feat-add-lstm-rnn
neuralnetlib 2.9.0
- feat: add history for fit method
- fix: history jupyter cell
- fix: earlystopping callback
- refactor: more robust use of EarlyStopping
- feat: made callbacks generic and more user friendly
- ci: bump version to 2.9.0